Views on the distribution of consciousness influence ethical judgements toward brain organoids as biological computers: an exploratory study [0.03%]
意识分布的观点影响人们对类脑器官作为生物计算机的伦理判断：一项探索性研究
Jonathan Lomax Boyd,Eric Allen Jensen,Aaron Michael Jensen et al.
Jonathan Lomax Boyd et al.
Biological computers, or 'biocomputers', are being engineered with brain organoids integrated with in silico hardware and software components. This technology promises to advance our mechanistic understanding of cognitive processes by embod...
Neurodynamic profiles in the alpha band distinguish different forms of meditation [0.03%]
alpha频带神经动态特征可区分不同形式的冥想
Bianca Ventura,Andrea Buccellato,Saketh Malipeddi et al.
Bianca Ventura et al.
Different forms of meditation, like Vipassana and Shoonya, require distinct attentional features. For instance, Vipassana, which involves systematically scanning different body parts, may demand a sustained yet dynamic focus with a temporal...
A data-driven approach to identifying and evaluating connectivity-based neural correlates of conscious visual perception [0.03%]
数据驱动的大脑网络在意识视觉感知中的作用
Annie G Bryant,Christopher J Whyte
Annie G Bryant
Identifying the neural correlates of conscious visual perception remains a major challenge in neuroscience, requiring theories that bridge between subjective experience and measurable neural correlates. However, theoretical interpretation o...
Perceptual learning without feedback is accompanied with systematic changes in confidence processing [0.03%]
无反馈的知觉学习伴随着系统性的自信处理变化
Nadia Hosseinizaveh,Pascal Mamassian
Nadia Hosseinizaveh
Perceptual learning can occur without external feedback, raising questions about what internal signals might guide this learning. Here, we test the hypothesis that confidence, namely the observer's subjective sense of decision accuracy, is ...
I sync, therefore I am: brain-body synchrony in typical and disordered consciousness [0.03%]
脑体同步：常态及异常意识下的脑体同步现象研究
Asa Young,Marissa Ericson,Jonathan W Schooler
Asa Young
Consciousness is often treated as a property of the brain alone, yet accumulating evidence suggests that it is shaped by a recurrent dialogue between the brain and body. In this review, we discuss how cognition associated with consciousness...
The Rhythmic Embodied Perception Framework of breath, brain, and perception [0.03%]
呼吸、大脑与感知的节奏化具身感知框架
Ralph Andrews,Paul M Dockree
Ralph Andrews
Breathing, beyond its metabolic role, has been increasingly implicated in shaping perception, attention, and aspects of cognitive processing. Here, we propose the Rhythmic Embodied Perception (REP) Framework, a multi-level framework linking...
Temporal recalibration in schizophrenia: a compensatory timing trap? [0.03%]
精神分裂症的时间再校准：一种补偿性时间陷阱吗？
Ali Aytemur,Ayşen Esen Danacı,Osman İyilikci
Ali Aytemur
Schizophrenia is characterized by widespread neural dysconnectivity and impaired temporal coordination. Despite these pervasive disruptions, patients often maintain coherent perception and sense of agency, particularly during remission. Thi...
Aidification of the self: a phenomenological approach to machine consciousness through human-robot 'between-ness' [0.03%]
从人机“中间性”中的自我援助化出发的机器意识现象学研究
Shogo Tanaka
Shogo Tanaka
This paper explores the fundamental challenges of machine consciousness in the era of Physical AI, where Large Language Models (LLMs) are integrated with humanoid platforms. While current systems like 'Ameca' exhibit sophisticated conversat...
Medha Shekhar,Axel Cleeremans,Dobromir Rahnev
Medha Shekhar
Prior research on confidence in perceptual decision making has almost exclusively used simple, static stimuli. While this work has led to many insights, it remains unclear how complex, real-world factors affect confidence judgments. To addr...
A caveat regarding the unfolding argument: implications of plasticity [0.03%]
关于当前争论的一个 caution：可塑性的含义
Vikas N O&#x;Reilly-Shah,Alessandro Maria Selvitella,Aaron Schurger
Vikas N O&#x;Reilly-Shah
The unfolding argument in the neuroscience of consciousness posits that causal structure cannot account for consciousness because any recurrent neural network (RNN) can be "unfolded" into a functionally equivalent feedforward neural network...